Phase Compensation-based 2D-DOA Estimation for EMVS-MIMO Radar

• Published in: IEEE transactions on aerospace and electronic systems Vol. 60; no. 2; pp. 1 - 10
• Main Authors: Zhang, Zhe, Shi, Junpeng, Wen, Fangqing
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.04.2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Angle estimation; Angles (geometry); Arbitrary geometry EMVS arrays; Array signal processing; Compensation; Complexity; Estimation; Factor analysis; Mathematical models; MIMO communication; Monostatic MIMO system; Phase compensation; Phased arrays; Radar; Radar antennas; Sensor arrays; Signal processing algorithms; Vectors (mathematics)
• ISSN: 0018-9251; 1557-9603
• DOI: 10.1109/TAES.2023.3335194

Multiple-input multiple-output (MIMO) sparse electromagnetic vector sensor (EMVS) arrays have brought new perspectives to signal processing due to their flexibility and higher resolution. In this study, we focus on angle estimation in a monostatic MIMO system using arbitrary geometry EMVS arrays. An improved parallel factor (PARAFAC)-based algorithm is introduced. By harnessing the natural multidimensional structure of the array output, we rearrange it into a PARAFAC model. The factor matrices are obtained using the complex parallel factor analysis (COMFAC), followed by applying vector cross-product (VCP)/phase compensation for rough/refined estimation. This approach achieves super-resolution estimation while automatically pairing angles and showing low computational complexity. As a result, it outperforms existing algorithms, and numerical simulation experiments validate the improvements achieved by the proposed method